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• how can i move ext3 partition to the beginning of drive without losing data?

  - by Felipe Alvarez

  I have a 500GB external drive. It had two partitions, each around 250GB. I removed the first partition. I'd like to move the 2nd to the left, so it consumes 100% of the drive. How can this be accomplished without any GUI tools (CLI only)? fdisk Disk /dev/sdd: 500.1 GB, 500107862016 bytes 255 heads, 63 sectors/track, 60801 cylinders Units = cylinders of 16065 * 512 = 8225280 bytes Disk identifier: 0xc80b1f3d Device Boot Start End Blocks Id System /dev/sdd2 29374 60801 252445410 83 Linux parted Model: ST350032 0AS (scsi) Disk /dev/sdd: 500GB Sector size (logical/physical): 512B/512B Partition Table: msdos Number Start End Size Type File system Flags 2 242GB 500GB 259GB primary ext3 type=83 dumpe2fs Filesystem volume name: extstar Last mounted on: <not available> Filesystem UUID: f0b1d2bc-08b8-4f6e-b1c6-c529024a777d Filesystem magic number: 0xEF53 Filesystem revision #: 1 (dynamic) Filesystem features: has_journal dir_index filetype needs_recovery sparse_super large_file Filesystem flags: signed_directory_hash Default mount options: (none) Filesystem state: clean Errors behavior: Continue Filesystem OS type: Linux Inode count: 15808608 Block count: 63111168 Reserved block count: 0 Free blocks: 2449985 Free inodes: 15799302 First block: 0 Block size: 4096 Fragment size: 4096 Blocks per group: 32768 Fragments per group: 32768 Inodes per group: 8208 Inode blocks per group: 513 Filesystem created: Mon Feb 15 08:07:01 2010 Last mount time: Fri May 21 19:31:30 2010 Last write time: Fri May 21 19:31:30 2010 Mount count: 5 Maximum mount count: 29 Last checked: Mon May 17 14:52:47 2010 Check interval: 15552000 (6 months) Next check after: Sat Nov 13 14:52:47 2010 Reserved blocks uid: 0 (user root) Reserved blocks gid: 0 (group root) First inode: 11 Inode size: 256 Required extra isize: 28 Desired extra isize: 28 Journal inode: 8 Default directory hash: half_md4 Directory Hash Seed: d0363517-c095-4f53-baa7-7428c02fbfc6 Journal backup: inode blocks Journal size: 128M

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• MongoDB and GrifFS. What are the best storage options in the range of 1 TB?

  - by Nerian

  We are going to launch a service that will require between 1 and 2 GB for file storage per paid user. I am going to use GridFS for storing files. I am pondering the different options for storing the database. But since I am unexperienced at deployment and it is my first time with Mongodb I need your experience. Criteria: I want to spend my time developing my core business, that is, my own application. I am a Ruby on Rails developer. I do not like to mess with server configuration. Hence, I would like a fully managed hosting solution. But I would like to know about any other option, if you think it is worth it. It should be able to scale. Cloud style. Pay as you go. The lower the price, the better. So far I known of these services: https://mongohq.com/pricing https://mongomachine.com/pricing https://mongolab.com/about/pricing/ http://cloudcontrol.com/add-ons/mongodb/ And they seem to be OK for common needs, that is no file storage. But I am going to use GridFS, so the size matters. These services seems to scale, in price, quite poorly. MongoHQ: The larger plan max storage is 20 GB. Seems like a very little storage, for GridFS. MongoMachine: Flat price, 2.5$ per GB. I didn't found the limit. Seems like a good price, comparing the others. MongoLab: 3.984 GB max, which I don't think I will hit, so perfect. 8$ per GB, quite costly. CloudControl: The larger plan is 20 Gb. The custom service starts at 250€ plus some unspecified charge per GB. What is your experience with these services? Any downtimes? Other possibilities?

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• Why is my server performance degrading to the point of stopping, periodically?

  - by Pascal Aschwanden

  So, once in a while, I see in firebug that a request takes over 15 or even 60 seconds to respond and sometimes never. Here is what I've ruled out: It's not the CPU, cuz every time I check the Server load its less then 6 for all 3 numbers It's not the memory, because thats fairly low too, less the 50% It's not the I/O anymore, because I've seen the graphs that Joyent sent back to me when I requested them, and they show less then 3MB of I/O (mostly all read). It's not the SQL performance - I've profiled every last SQL command that runs, and they're all (99.9% of them anyway) running in less then 30ms, most run in less then 5ms. Oh and I've been profiling all the script execution times, and even the when the problem occurs, the script always manages to finish in 50ms or less (that's 1 / 20th of a second ). Now, I do run alot of ajax calls. 1 every 2 seconds per user and I have 300 DAU+. But, even if all 300 are playing simultaneously, thats still only 150 calls per second max. The only other thing I can think of is that one of my neighbors is funky. The problem is highly intermittent. 99% of the time it works perfectly and there's excellent performance. but 99%+ is not good enough. Eventually the performance gets so bad I have to restart the server, at which point everything is fine again. I've done this about 4 times now. Any ideas? Note: this is on joyent, vps, intro package 256mb of ram with bursting. here are the mysql dump info: Traffic ø per hour Received 18 MiB 29 MiB Sent 134 MiB 221 MiB Total 151 MiB 251 MiB Connections ø per hour % max. concurrent connections 5 --- --- Failed attempts 0 0.00 0.00% Aborted 0 0.00 0.00% Total 9,418 15.59 k 100.00%

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• Disk fragmentation when dealing with many small files

  - by Zorlack

  On a daily basis we generate about 3.4 Million small jpeg files. We also delete about 3.4 Million 90 day old images. To date, we've dealt with this content by storing the images in a hierarchical manner. The heriarchy is something like this: /Year/Month/Day/Source/ This heirarchy allows us to effectively delete days worth of content across all sources. The files are stored on a Windows 2003 server connected to a 14 disk SATA RAID6. We've started having significant performance issues when writing-to and reading-from the disks. This may be due to the performance of the hardware, but I suspect that disk fragmentation may be a culprit at well. Some people have recommended storing the data in a database, but I've been hesitant to do this. An other thought was to use some sort of container file, like a VHD or something. Does anyone have any advice for mitigating this kind of fragmentation? Additional Info: The average file size is 8-14KB Format information from fsutil: NTFS Volume Serial Number : 0x2ae2ea00e2e9d05d Version : 3.1 Number Sectors : 0x00000001e847ffff Total Clusters : 0x000000003d08ffff Free Clusters : 0x000000001c1a4df0 Total Reserved : 0x0000000000000000 Bytes Per Sector : 512 Bytes Per Cluster : 4096 Bytes Per FileRecord Segment : 1024 Clusters Per FileRecord Segment : 0 Mft Valid Data Length : 0x000000208f020000 Mft Start Lcn : 0x00000000000c0000 Mft2 Start Lcn : 0x000000001e847fff Mft Zone Start : 0x0000000002163b20 Mft Zone End : 0x0000000007ad2000

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• Using multiple USB webcams in Linux

  - by rachelderp

  Running more than one USB webcam in Debian/Linux results in the the following error: libv4l2: error turning on stream: No space left on device VIDIOC_STREAMON: No space left on device What initially seemed to be a programming issue in OpenCV turned into a quest for a mysterious hardware/software problem after the same errors were produced by running cheese and xawtv. Apparently it's caused by webcams requesting all the available bandwidth on the USB host controller. With that in mind I decided to run wireshark and capinfos to see just how much bandwidth a single camera used. 4 megabits per second at 320x240 14 megabits per second at 640x480 32 megabits per second at 1920x1080 Interesting! That might explain why two cameras at 320x240 work but any higher resolution fails. It's as if my USB controller is only operating at USB 1 speeds, yet lsusb shows both webcams belonging to a device which supposedly supports 480 megabits per second. One solution proposed forcing the webcams to calculate their bandwidth usage instead of requesting their maximum by running the following commands: sudo rmmod uvcvideo sudo modprobe uvcvideo quirks=128 Unfortunately that made no difference, so I decided to try another solution. A post on StackOverflow suggested telling my webcams to use a lower FPS or compressed video format like MJPEG, but after running v4lctl list it doesn't appear either of my webcams support changing their video mode. And that's where I'm stuck. Why would two webcams operating well below the maximum speed of USB 2 would produce this error? ps: It's not a disk space issue, df displays no change when the webcams are started. pps: If it makes a difference, here's the output of lsusb

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• Android Canvas Coordinate System

  - by Mitch

  I'm trying to find information on how to change the coordinate system for the canvas. I have some vector data I'd like to draw to a canvas using things like circles and lines, but the data's coordinate system doesn't match the canvas coordinate system. Is there a way to map the units I'm using to the screen's units? I'm drawing to an ImageView which isn't taking up the entire display. If I have to do my own calculations prior to each drawing call, how to I find the width and height of my ImageView? The getWidth() and getHeight() calls I tried seem to be returning the entire canvas size and not the size of the ImageView which isn't helpful. I see some matrix stuff, is that something that will work for me? I tried to use the "public void scale(float sx, float sy)", but that works more like a pixel level zoom rather than a vector scale function by expanding each pixel. This means if the dimensions are increased to fit the screen, the line thickness is also increased. Update: After some research I'm starting to think there's no way to change coordinate systems to something else. I'll need to map all my coordinates to the screen's pixel coordinates and do so by modifying each vector. The getWidth() and getHeight() seem to be working better for me now. I can say what was wrong, but I suspect I can't use these methods inside the constructor.

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• File Format Conversion to TIFF. Some issues???

  - by Nains

  I'm having a proprietary image format SNG( a proprietary format) which is having a countinous array of Image data along with Image meta information in seperate HDR file. Now I need to convert this SNG format to a Standard TIFF 6.0 Format. So I studied the TIFF format i.e. about its Header, Image File Directories( IFD's) and Stripped Image Data. Now I have few concerns about this conversion. Please assist me. SNG Continous Data vs TIFF Stripped Data: Should I convert SNG Data to TIFF as a continous data in one Strip( data load/edit time problem?) OR make logical StripOffsets of the SNG Image data. SNG Data Header uses only necessary Meta Information, thus while converting the SNG to TIFF, some information can’t be retrieved such as NewSubFileType, Software Tag etc. So this raises a concern that after conversion whether any missing directory information such as NewSubFileType, Software Tag etc is necessary and sufficient condition for TIFF File. Encoding of each pixel component of RGB Sample in SNG data: Here each SNG Image Data Strip per Pixel component is encoded as: Out^[i] := round( LineBuffer^[i * 3] * **0.072169** + LineBuffer^[i * 3 + 1] * **0.715160** + LineBuffer^[i * 3+ 2]* **0.212671**); Only way I deduce from it is that each Pixel is represented with 3 RGB component and some coefficient is multiplied with each component to make the SNG Viewer work RGB color information of SNG Image Data. (Developer who earlier work on this left, now i am following the trace :)) Thus while converting this to TIFF, the decoding the same needs to be done. This raises a concern that the how RBG information in TIFF is produced, or better do we need this information?. Please assist...

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• Editing 8bpp indexed Bitmaps

  - by Pedro Sá

  hi, i'm trying to edit the pixels of a 8bpp. Since this PixelFormat is indexed i'm aware that it uses a Color Table to map the pixel values. Even though I can edit the bitmap by converting it to 24bpp, 8bpp editing is much faster (13ms vs 3ms). But, changing each value when accessing the 8bpp bitmap results in some random rgb colors even though the PixelFormat remains 8bpp. I'm currently developing in c# and the algorithm is as follows: (C#) 1- Load original Bitmap at 8bpp 2- Create Empty temp Bitmap with 8bpp with the same size as the original 3-LockBits of both bitmaps and, using P/Invoke, calling c++ method where I pass the Scan0 of each BitmapData object. (I used a c++ method as it offers better performance when iterating through the Bitmap's pixels) (C++) 4- Create a int[256] palette according to some parameters and edit the temp bitmap bytes by passing the original's pixel values through the palette. (C#) 5- UnlockBits. My question is how can I edit the pixel values without having the strange rgb colors, or even better, edit the 8bpp bitmap's Color Table? Regards, Pedro

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• Using Sendkeys in python to press {F12} results in other keys pressed?

  - by ThantiK

  import time from ctypes import * import win32gui import win32com.client as comclt X = 119 Y = 53 def PILColorToRGB(pil_color): """ convert a PIL-compatible integer into an (r, g, b) tuple """ hexstr = '%06x' % pil_color # reverse byte order r, g, b = hexstr[4:], hexstr[2:4], hexstr[:2] r, g, b = [int(n, 16) for n in (r, g, b)] return (r, g, b) wsh = comclt.Dispatch("WScript.Shell") w = win32gui user = windll.LoadLibrary("c:\\windows\\system32\\user32.dll") h = user.GetDC(0) gdi = windll.LoadLibrary("c:\\windows\\system32\\gdi32.dll") while True: FG = w.GetWindowText(w.GetForegroundWindow()) #FG = Foreground window title. if FG == "World of Warcraft": rgb = (PILColorToRGB(gdi.GetPixel(h,X,Y))) #X, Y time.sleep(0.333) #don't check too often. if (rgb[0] >= 130): #While Pixel (X, Y) is Red... #print "%d %d %d" % (rgb[0], rgb[1], rgb[2]) #Debug wsh.SendKeys("{F12}") #Send a key. time.sleep(0.7) #Add some extra down-time if we send the key. else: time.sleep(5) Basically all this code does is read a pixel on the screen, and send a key (F12) if the pixel is red. But when using this code I regularly get some phantom key-code being pressed. The application I'm using this on is obviously world of warcraft, and I have checked that all keybinds are standard keybinds. However randomly it seems I get either an up arrow, or a w pressed, which moves my character forward whenever this code executes (F12 is bound to a macro, unbound from any movement. If I press f12 with a hardware event, it does not exhibit this behavior. What in the world could be going on here?

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• How to scale a sprite image without losing color key information?

  - by Michael P

  Hello everyone, I'm currently developing a simple application that displays map and draws some markers on it. I'm developing for Windows Mobile, so I decided to use DirectDraw and Imaging interfaces to make the application fast and pretty. The map moves when user moves finger on the touchscreen, so the whole map moving/scrolling animation has to be fast, but it is not. On every map update I have to draw portion of the map, control buttons, and markers - buttons and markers are preloaded on DirectDraw surface as a mipmap. So the only thing I do is BitBlit from the mipmap to a back buffer, and from the back buffer to a primary surface (I can't use page flipping due to the windowed mode of my application). Previously I used premultiplied-alpha surface with 32 bit ARGB pixel format for images mipmap, everything was looking good, but drawing entire "scene" was horribly slow - i could forget about smooth map scrolling. Now I'm using mipmap with native (RGB565) pixel format and fuchsia (0xFF00FF) color key. Drawing is much better my mipmap surface is generated on program loading - images are loaded from files, scaled (with filtering) and drawn on mipmap. The problem is, that image scaling process blends pixel colors, and those pixels which are on the border of a sprite region are blended with surrounding fuchsia pixels resulting semi-fuchsia color that is not treated as color key. When I do blitting with color key option, sprites have small fuchsia-like borders, and it looks really bad. How to solve this problem? I can use alpha blitting, but it is too slow - even in ARGB 1555 format.

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• Updating UIView subclass contents

  - by Brett

  Hi; I am trying to update a UIView subclass to draw individual pixels (rectangles) after calculating if they are in the mandelbrot set. I am using the following code but am getting a blank screen: //drawingView.h ... -(void)drawRect:(CGRect)rect{ CGContextRef context = UIGraphicsGetCurrentContext(); CGContextSetRGBFillColor(context, r, g, b, 1); CGContextSetRGBStrokeColor(context, r, g, b, 1); CGRect arect = CGRectMake(x,y,1,1); CGContextFillRect(context, arect); } ... //viewController.m ... - (void)viewDidLoad { [drawingView setX:10]; [drawingView setY:10]; [drawingView setR:0.0]; [drawingView setG:0.0]; [drawingView setB:0.0]; [super viewDidLoad]; [drawingView setNeedsDisplay]; } Once I figure out how to display one pixel, I'd like to know how to go about updating the view by adding another pixel (once calculated). Once all the variables change, how do I keep the current view as is but add another pixel? Thanks, Brett

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• Qt/C++, Problems with large QImage

  - by David Günzel

  I'm pretty new to C++/Qt and I'm trying to create an application with Visual Studio C++ and Qt (4.8.3). The application displays images using a QGraphicsView, I need to change the images at pixel level. The basic code is (simplified): QImage* img = new QImage(img_width,img_height,QImage::Format_RGB32); while(do_some_stuff) { img->setPixel(x,y,color); } QGraphicsPixmapItem* pm = new QGraphicsPixmapItem(QPixmap::fromImage(*img)); QGraphicsScene* sc = new QGraphicsScene; sc->setSceneRect(0,0,img->width(),img->height()); sc->addItem(pm); ui.graphicsView->setScene(sc); This works well for images up to around 12000x6000 pixel. The weird thing happens beyond this size. When I set img_width=16000 and img_height=8000, for example, the line img = new QImage(...) returns a null image. The image data should be around 512,000,000 bytes, so it shouldn't be too large, even on a 32 bit system. Also, my machine (Win 7 64bit, 8 GB RAM) should be capable of holding the data. I've also tried this version: uchar* imgbuf = (uchar*) malloc(img_width*img_height*4); QImage* img = new QImage(imgbuf,img_width,img_height,QImage::Format_RGB32); At first, this works. The img pointer is valid and calling img-width() for example returns the correct image width (instead of 0, in case the image pointer is null). But as soon as I call img-setPixel(), the pointer becomes null and img-width() returns 0. So what am I doing wrong? Or is there a better way of modifying large images on pixel level? Regards, David

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• Help in J2ME for creating image and parse it

  - by HAMED

  Can anyone tell me how i can parse a png image into many png images in J2ME??? for examole:I just wnat to have a source image 150*150 pixel and parse it to 10 image with 15*15 pixel. I write an elemantary code that have exeption. This is my code: public class HelloMIDlet extends MIDlet implements CommandListener { private boolean midletPaused = false; private Command exitCommand; private Form form; private StringItem stringItem; Image im , im2; Form form1 = null; public HelloMIDlet() { try { // create source image im = Image.createImage("/image1.JPG"); int height = im.getHeight() ; int width = im.getWidth() ; int x = 0 ; int y = 0 ; while ( y < height ){ while ( x < width ){ // create 15*15 pixel of source image im2 = im.createImage(im, x, y, 15, 15, Sprite.TRANS_NONE) ; x += 15 ; } y += 15 ; x = 0 ; } } catch (IOException ex) { ex.printStackTrace(); } } please help me to make it right....It's emergency! Thanks a lot guys...

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• Screen information while Windows system is locked (.NET)

  - by Matt

  We have a nightly process that updates applications on a user's pc, and that requires bringing the application down and back up again (not looking to get into changing that process). The problem is that we are building a Windows AppBar on launch which requires a valid screen, and when the system is locked there isn't one in the Screen class. So none of the visual effects are enabled and it shows up real ugly. The only way we currently have around this is to detect a locked screen and just spin and wait until the user unlocks the desktop, then continue launching. Leaving it down isn't an option, as this is a key part of our user's workflow, and they expect it to be up and running if they left it that way the night before. Any ideas?? I can't seem to find the display information anywhere, but it has to be stored off someplace, since the user is still logged in. The contents of the Screen.AllScreens array: ** When Locked: Device Name : DISPLAY Primary : True Bits Per Pixel : 0 Bounds : {X=-1280,Y=0,Width=2560,Height=1024} Working Area : {X=0,Y=0,Width=1280,Height=1024} ** When Unlocked: Device Name : \\.\DISPLAY1 Primary : True Bits Per Pixel : 32 Bounds : {X=0,Y=0,Width=1280,Height=1024} Working Area : {X=0,Y=0,Width=1280,Height=994} Device Name : \\.\DISPLAY2 Primary : False Bits Per Pixel : 32 Bounds : {X=-1280,Y=0,Width=1280,Height=1024} Working Area : {X=-1280,Y=0,Width=1280,Height=964}

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• Python: Serial Transmission

  - by Silent Elektron

  I have an image stack of 500 images (jpeg) of 640x480. I intend to make 500 pixels (1st pixels of all images) as a list and then send that via COM1 to FPGA where I do my further processing. I have a couple of questions here: How do I import all the 500 images at a time into python and how do i store it? How do I send the 500 pixel list via COM1 to FPGA? I tried the following: Converted the jpeg image to intensity values (each pixel is denoted by a number between 0 and 255) in MATLAB, saved the intensity values in a text file, read that file using readlines(). But it became too cumbersome to make the intensity value files for all the 500 images! Used NumPy to put the read files in a matrix and then pick the first pixel of all images. But when I send it, its coming like: [56, 61, 78, ... ,71, 91]. Is there a way to eliminate the [ ] and , while sending the data serially? Thanks in Advance! :)

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• Selenium Webdriver Java - looking for alternatives for Actions and Robot when performing drag-and-drop

  - by Ja-ke Alconcel

  I first tried Actions class and the drag-and-drop does work on different elements, however it was unable to locate the a specific draggable element on it's exact screen/webpage position. Here's the code I've used: Point loc = driver.findElement(By.id("thiselement")).getLocation(); System.out.println(loc); WebElement drag = driver.findElement(By.id("thiselement")); Actions test = new Actions(driver); test.dragAndDropBy(drag, 0, 60).build().perform(); I checked the element with it's pixel location and it prints (837, -52), which was somewhere on top of the webpage and was pixels away from the actual element. Then I tried using the Robot class and works perfectly fine on my script, but can only provide constant successful runs on a single test machine, running it with a different machine with different screen resolution and screen size will render the script to fail due to the dependency of Robot on the pixel location of the element. The sample code of the Robot script I'm using: Robot dragAndDrop = new Robot(); dragAndDrop.mouseMove(945, 166); //actual pixel location of the draggable element dragAndDrop.mousePress(InputEvent.BUTTON1_MASK); sleep(3000); dragAndDrop.mouseMove(945, 226); dragAndDrop.mouseRelease(InputEvent.BUTTON1_MASK); sleep(3000); Is there any alternative for Actions and Robot to automate drag-and-drop? Or maybe a help on working the script to work on Actions as I really can't use Robot. Thanks in advance.

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• "java.lang.OutOfMemoryError: Java heap space" in image and array storage

  - by totalconscience

  I am currently working on an image processing demonstration in java (Applet). I am running into the problem where my arrays are too large and I am getting the "java.lang.OutOfMemoryError: Java heap space" error. The algorithm I run creates an NxD float array where: N is the number of pixel in the image and D is the coordinates of each pixel plus the colorspace components of each pixel (usually 1 for grayscale or 3 for RGB). For each iteration of the algorithm it creates one of these NxD float arrays and stores it for later use in a vector, so that the user of the applet may look at the individual steps. My client wants the program to be able to load a 500x500 RGB image and run as the upper bound. There are about 12 to 20 iterations per run so that means I need to be able to store a 12x500x500x5 float in some fashion. Is there a way to process all of this data and, if possible, how? Example of the issue: I am loading a 512 by 512 Grayscale image and even before the first iteration completes I run out of heap space. The line it points me to is: Y.add(new float[N][D]) where Y is a Vector and N and D are described as above. This is the second instance of the code using that line.

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• how to make a CUDA Histogram kernel?

  - by kitw

  Hi all, I am writing a CUDA kernel for Histogram on a picture, but I had no idea how to return a array from the kernel, and the array will change when other thread read it. Any possible solution for it? __global__ void Hist( TColor *dst, //input image int imageW, int imageH, int*data ){ const int ix = blockDim.x * blockIdx.x + threadIdx.x; const int iy = blockDim.y * blockIdx.y + threadIdx.y; if(ix < imageW && iy < imageH) { int pixel = get_red(dst[imageW * (iy) + (ix)]); //this assign specific RED value of image to pixel data[pixel] ++; // ?? problem statement ... } } @para d_dst: input image TColor is equals to float4. @para data: the array for histogram size [255] extern "C" void cuda_Hist(TColor *d_dst, int imageW, int imageH,int* data) { dim3 threads(BLOCKDIM_X, BLOCKDIM_Y); dim3 grid(iDivUp(imageW, BLOCKDIM_X), iDivUp(imageH, BLOCKDIM_Y)); Hist<<<grid, threads>>>(d_dst, imageW, imageH, data); }

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• Creating transparent PNG with exact RGBA values

  - by rrowland

  I'm color-coding a transparent image to be read programatically. However, the image seems to be getting compressed and my code is reading color values other than the ones I mean to pass it. Concept This is the output I get, exporting as PNG-24. I programatically check each pixel for one of the six colors I use in creating the image: 0x00000F 0x0000F0 0x000F00 0x00F000 0x0F0000 0xF00000 Each color represents a different texture to apply. Top right (0x00000F) will pull texture from the tile to its top right and blend it at a ratio equal to the opacity of the pixel. The end goal is to create a hex tiled grid with differing textures that blend smoothly. What's happening It seems that when converting to PNG, Photoshop will change the RGBA to make it smoother, or just to help compression size. Parts that should be 250 red range anywhere from 150 to 255. Question Whether using PNG or another web-compatible format, I need to be able to save these pixel values, essentially instructions, loss-less and still maintain transparency. Is this possible in any format or will I need to re-think my approach?

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• Voice Recognition Google API

  - by user2966744

  thanks for reading. I'm creating a simple web based drawing app that uses speech recognition. I have created a simple page, the project is on github here: https://github.com/a5hton/speechdraw It has a 16x16 pixel grid. I would like to be able to draw on this grid by using simple words. For example if you say "right", the pixel to the right will be colored black. If you say "down" the pixel below the last one will be colored black. You can say up, down, left or right and the corresponding pixels will be colored. Saying "erase" will switch to erase mode, colouring the pixels back to their original color. Saying "lift" will lift the pen off the page. Saying "draw" will enable the draw mode. Could you please help me work out how to make this happen. Please see the simple page at to get an understanding. Thank you! Cheers, Michael

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• World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2

  - by Brian

  Oracle produced a World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. The workload includes both online and batch workload. The SPARC T4-2 server delivered a result of 8,000 online users while concurrently executing a mix of JD Edwards EnterpriseOne Long and Short batch processes at 95.5 UBEs/min (Universal Batch Engines per minute). In order to obtain this record benchmark result, the JD Edwards EnterpriseOne, Oracle WebLogic and Oracle Database 11g Release 2 servers were executed each in separate Oracle Solaris Containers which enabled optimal system resources distribution and performance together with scalable and manageable virtualization. One SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized only 55% of the available CPU power. The Oracle DB server in a Shared Server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T4-2 server without sacrificing performance. This configuration with SPARC T4-2 server has achieved 33% more Users/core, 47% more UBEs/min and 78% more Users/rack unit than the IBM Power 770 server. The SPARC T4-2 server with 2 processors ran the JD Edwards "Day-in-the-Life" benchmark and supported 8,000 concurrent online users while concurrently executing mixed batch workloads at 95.5 UBEs per minute. The IBM Power 770 server with twice as many processors supported only 12,000 concurrent online users while concurrently executing mixed batch workloads at only 65 UBEs per minute. This benchmark demonstrates more than 2x cost savings by consolidating the complete solution in a single SPARC T4-2 server compared to earlier published results of 10,000 users and 67 UBEs per minute on two SPARC T4-2 and SPARC T4-1. The Oracle DB server used mirrored (RAID 1) volumes for the database providing high availability for the data without impacting performance. Performance Landscape JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark Consolidated Online with Batch Workload System Rack Units BatchRate(UBEs/m) Online Users Users /Units Users /Core Version SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 3 95.5 8,000 2,667 500 9.0.2 IBM Power 770 (4 x POWER7, 3.3 GHz, 32 cores) 8 65 12,000 1,500 375 9.0.2 Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute Configuration Summary Hardware Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 4 x 300 GB 10K RPM SAS internal disk 2 x 300 GB internal SSD 2 x Sun Storage F5100 Flash Arrays Software Configuration: Oracle Solaris 10 Oracle Solaris Containers JD Edwards EnterpriseOne 9.0.2 JD Edwards EnterpriseOne Tools (8.98.4.2) Oracle WebLogic Server 11g (10.3.4) Oracle HTTP Server 11g Oracle Database 11g Release 2 (11.2.0.1) Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently. Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers, two Oracle WebLogic Servers 11g Release 1 coupled with two Oracle Web Tier HTTP server instances and one Oracle Database 11g Release 2 database on a single SPARC T4-2 server were hosted in separate Oracle Solaris Containers bound to four processor sets to demonstrate consolidation of multiple applications, web servers and the database with best resource utilizations. Interrupt fencing was configured on all Oracle Solaris Containers to channel the interrupts to processors other than the processor sets used for the JD Edwards Application server, Oracle WebLogic servers and the database server. A Oracle WebLogic vertical cluster was configured on each WebServer Container with twelve managed instances each to load balance users' requests and to provide the infrastructure that enables scaling to high number of users with ease of deployment and high availability. The database log writer was run in the real time RT class and bound to a processor set. The database redo logs were configured on the raw disk partitions. The Oracle Solaris Container running the Enterprise Application server completed 61 Short UBEs, 4 Long UBEs concurrently as the mixed size batch workload. The mixed size UBEs ran concurrently from the Enterprise Application server with the 8,000 online users driven by the LoadRunner. See Also SPARC T4-2 Server oracle.com OTN JD Edwards EnterpriseOne oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Oracle Fusion Middleware oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 09/30/2012.

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• Oracle apresenta resultados do ano

  - by pfolgado

  A Oracle acabou de apresentar os resultados do 4º trimestre e do ano fiscal FY11. Os resultados mais relevantes são: Receitas de Vendas cresceram 33%, atingindo um total de 35,6 mil milhões de dólares Vendas de Novas licenças cresceram 23% Receitas de Hardware de 4,4 mil milhões de dólares Resultados operacionais cresceram 39% Resultados por acção de cresceram 38% para 1,67 dólares “In Q4, we achieved a 19% new software license growth rate with almost no help from acquisitions,” said Oracle President and CFO, Safra Catz. “This strong organic growth combined with continuously improving operational efficiencies enabled us to deliver a 48% operating margin in the quarter. As our results reflect, we clearly exceeded even our own high expectations for Sun’s business.” “In addition to record setting software sales, our Exadata and Exalogic systems also made a strong contribution to our growth in Q4,” said Oracle President, Mark Hurd. “Today there are more than 1,000 Exadata machines installed worldwide. Our goal is to triple that number in FY12.” “In FY11 Oracle’s database business experienced its fastest growth in a decade,” said Oracle CEO, Larry Ellison. “Over the past few years we added features to the Oracle database for both cloud computing and in-memory databases that led to increased database sales this past year. Lately we’ve been focused on the big business opportunity presented by Big Data.” Oracle Reports Q4 GAAP EPS Up 34% To 62 Cents; Q4 NON-GAAP EPS Up 25% To 75 Cents Q4 Software New License Sales Up 19%, Q4 Total Revenue Up 13% Oracle today announced fiscal 2011 Q4 GAAP total revenues were up 13% to $10.8 billion, while non-GAAP total revenues were up 12% to $10.8 billion. Both GAAP and non-GAAP new software license revenues were up 19% to $3.7 billion. Both GAAP and non-GAAP software license updates and product support revenues were up 15% to $4.0 billion. Both GAAP and non-GAAP hardware systems products revenues were down 6% to $1.2 billion. GAAP operating income was up 32% to $4.4 billion, and GAAP operating margin was 40%. Non-GAAP operating income was up 19% to $5.2 billion, and non-GAAP operating margin was 48%. GAAP net income was up 36% to $3.2 billion, while non-GAAP net income was up 27% to $3.9 billion. GAAP earnings per share were $0.62, up 34% compared to last year while non-GAAP earnings per share were up 25% to $0.75. GAAP operating cash flow on a trailing twelve-month basis was $11.2 billion. For fiscal year 2011, GAAP total revenues were up 33% to $35.6 billion, while non-GAAP total revenues were up 33% to $35.9 billion. Both GAAP and non-GAAP new software license revenues were up 23% to $9.2 billion. GAAP software license updates and product support revenues were up 13% to $14.8 billion, while non-GAAP software license updates and product support revenues were up 13% to $14.9 billion. Both GAAP and non-GAAP hardware systems products revenues were $4.4 billion. GAAP operating income was up 33% to $12.0 billion, and GAAP operating margin was 34%. Non-GAAP operating income was up 27% to $15.9 billion, and non-GAAP operating margin was 44%. GAAP net income was up 39% to $8.5 billion, while non-GAAP net income was up 34% to $11.4 billion. GAAP earnings per share were $1.67, up 38% compared to last year while non-GAAP earnings per share were up 33% to $2.22. “In Q4, we achieved a 19% new software license growth rate with almost no help from acquisitions,” said Oracle President and CFO, Safra Catz. “This strong organic growth combined with continuously improving operational efficiencies enabled us to deliver a 48% operating margin in the quarter. As our results reflect, we clearly exceeded even our own high expectations for Sun’s business.” “In addition to record setting software sales, our Exadata and Exalogic systems also made a strong contribution to our growth in Q4,” said Oracle President, Mark Hurd. “Today there are more than 1,000 Exadata machines installed worldwide. Our goal is to triple that number in FY12.” “In FY11 Oracle’s database business experienced its fastest growth in a decade,” said Oracle CEO, Larry Ellison. “Over the past few years we added features to the Oracle database for both cloud computing and in-memory databases that led to increased database sales this past year. Lately we’ve been focused on the big business opportunity presented by Big Data.” In addition, Oracle also announced that its Board of Directors declared a quarterly cash dividend of $0.06 per share of outstanding common stock. This dividend will be paid to stockholders of record as of the close of business on July 13, 2011, with a payment date of August 3, 2011.

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• How can I estimate the entropy of a password?

  - by Wug

  Having read various resources about password strength I'm trying to create an algorithm that will provide a rough estimation of how much entropy a password has. I'm trying to create an algorithm that's as comprehensive as possible. At this point I only have pseudocode, but the algorithm covers the following: password length repeated characters patterns (logical) different character spaces (LC, UC, Numeric, Special, Extended) dictionary attacks It does NOT cover the following, and SHOULD cover it WELL (though not perfectly): ordering (passwords can be strictly ordered by output of this algorithm) patterns (spatial) Can anyone provide some insight on what this algorithm might be weak to? Specifically, can anyone think of situations where feeding a password to the algorithm would OVERESTIMATE its strength? Underestimations are less of an issue. The algorithm: // the password to test password = ? length = length(password) // unique character counts from password (duplicates discarded) uqlca = number of unique lowercase alphabetic characters in password uquca = number of uppercase alphabetic characters uqd = number of unique digits uqsp = number of unique special characters (anything with a key on the keyboard) uqxc = number of unique special special characters (alt codes, extended-ascii stuff) // algorithm parameters, total sizes of alphabet spaces Nlca = total possible number of lowercase letters (26) Nuca = total uppercase letters (26) Nd = total digits (10) Nsp = total special characters (32 or something) Nxc = total extended ascii characters that dont fit into other categorys (idk, 50?) // algorithm parameters, pw strength growth rates as percentages (per character) flca = entropy growth factor for lowercase letters (.25 is probably a good value) fuca = EGF for uppercase letters (.4 is probably good) fd = EGF for digits (.4 is probably good) fsp = EGF for special chars (.5 is probably good) fxc = EGF for extended ascii chars (.75 is probably good) // repetition factors. few unique letters == low factor, many unique == high rflca = (1 - (1 - flca) ^ uqlca) rfuca = (1 - (1 - fuca) ^ uquca) rfd = (1 - (1 - fd ) ^ uqd ) rfsp = (1 - (1 - fsp ) ^ uqsp ) rfxc = (1 - (1 - fxc ) ^ uqxc ) // digit strengths strength = ( rflca * Nlca + rfuca * Nuca + rfd * Nd + rfsp * Nsp + rfxc * Nxc ) ^ length entropybits = log_base_2(strength) A few inputs and their desired and actual entropy_bits outputs: INPUT DESIRED ACTUAL aaa very pathetic 8.1 aaaaaaaaa pathetic 24.7 abcdefghi weak 31.2 H0ley$Mol3y_ strong 72.2 s^fU¬5ü;y34G< wtf 88.9 [a^36]* pathetic 97.2 [a^20]A[a^15]* strong 146.8 xkcd1** medium 79.3 xkcd2** wtf 160.5 * these 2 passwords use shortened notation, where [a^N] expands to N a's. ** xkcd1 = "Tr0ub4dor&3", xkcd2 = "correct horse battery staple" The algorithm does realize (correctly) that increasing the alphabet size (even by one digit) vastly strengthens long passwords, as shown by the difference in entropy_bits for the 6th and 7th passwords, which both consist of 36 a's, but the second's 21st a is capitalized. However, they do not account for the fact that having a password of 36 a's is not a good idea, it's easily broken with a weak password cracker (and anyone who watches you type it will see it) and the algorithm doesn't reflect that. It does, however, reflect the fact that xkcd1 is a weak password compared to xkcd2, despite having greater complexity density (is this even a thing?). How can I improve this algorithm? Addendum 1 Dictionary attacks and pattern based attacks seem to be the big thing, so I'll take a stab at addressing those. I could perform a comprehensive search through the password for words from a word list and replace words with tokens unique to the words they represent. Word-tokens would then be treated as characters and have their own weight system, and would add their own weights to the password. I'd need a few new algorithm parameters (I'll call them lw, Nw ~= 2^11, fw ~= .5, and rfw) and I'd factor the weight into the password as I would any of the other weights. This word search could be specially modified to match both lowercase and uppercase letters as well as common character substitutions, like that of E with 3. If I didn't add extra weight to such matched words, the algorithm would underestimate their strength by a bit or two per word, which is OK. Otherwise, a general rule would be, for each non-perfect character match, give the word a bonus bit. I could then perform simple pattern checks, such as searches for runs of repeated characters and derivative tests (take the difference between each character), which would identify patterns such as 'aaaaa' and '12345', and replace each detected pattern with a pattern token, unique to the pattern and length. The algorithmic parameters (specifically, entropy per pattern) could be generated on the fly based on the pattern. At this point, I'd take the length of the password. Each word token and pattern token would count as one character; each token would replace the characters they symbolically represented. I made up some sort of pattern notation, but it includes the pattern length l, the pattern order o, and the base element b. This information could be used to compute some arbitrary weight for each pattern. I'd do something better in actual code. Modified Example: Password: 1234kitty$$$$$herpderp Tokenized: 1 2 3 4 k i t t y $ $ $ $ $ h e r p d e r p Words Filtered: 1 2 3 4 @W5783 $ $ $ $ $ @W9001 @W9002 Patterns Filtered: @P[l=4,o=1,b='1'] @W5783 @P[l=5,o=0,b='$'] @W9001 @W9002 Breakdown: 3 small, unique words and 2 patterns Entropy: about 45 bits, as per modified algorithm Password: correcthorsebatterystaple Tokenized: c o r r e c t h o r s e b a t t e r y s t a p l e Words Filtered: @W6783 @W7923 @W1535 @W2285 Breakdown: 4 small, unique words and no patterns Entropy: 43 bits, as per modified algorithm The exact semantics of how entropy is calculated from patterns is up for discussion. I was thinking something like: entropy(b) * l * (o + 1) // o will be either zero or one The modified algorithm would find flaws with and reduce the strength of each password in the original table, with the exception of s^fU¬5ü;y34G<, which contains no words or patterns.

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• Benchmarking MySQL on win7

  - by Patrick

  I've setup a nginx server running php 5.3.6 and mysql 5.5.1.3. My computer is an AMD quadcore 9650, 4gb ram, 500gb 7200rpm HD. I ran the PHP MySQL Benchmark Tool v. 0.1, and got the following results: Testing a(n) MYISAM table using 100000 rows. Successfully created database speedtestdb Sucessfully created table speedtesttable Table Type Verified: MYISAM .. Done. 100000 inserts in 19.73628 seconds or 5067 inserts per second. Done. 100000 row reads in 0.2801 seconds or 357015 row reads per second. Done. 100000 updates in 4.03876 seconds or 24760 updates per second. I'm wondering where this stands as far as performance goes, and what are some steps I can take if any to improve on this. I'm not trying to make anything fantastic, just getting a feel for how to best optimize a web server in this configuration.

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• Cisco Catalyst 65XX and traffic shaping

  - by Nadz Goldman

  Hello! I have Cisco Catalyst 65XX, many VLANs and about ~1300 users. Users connected to some D-Link switches with second-level management. D-Link switches come to my Cisco Catalyst 65XX by VLANs. So, how I can shape traffic per user? If I use something like this: access-list 145 permit ip any host 192.168.0.1 access-list 145 permit ip any host 192.168.0.2 access-list 145 permit ip any host 192.168.0.3 ... int Gi0/1 traffic-shape group 145 128000 7936 7936 1000 will I have shape traffic per user or it will shape traffic only on interface? I mean - every user will have 128kb/s (per user) or everybody will have 128kb/s ? If it will be for everybody, then what is the solution of my question: how every user can have 128kb/s ?

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